“一带一路”核心国家2015年土地利用数据

依据多土地覆被类型数据包括有欧空局全球陆地覆盖数据（ESA CCI-LC，300m栅格）、清华大学全球土地覆被数据（FROM-GLC，30m栅格）和美国NASA的LP DAAC 中心的MODIS全球土地覆被数据（MCD12Q1，300m栅格）等3个土地覆被产品数据。个别类别土地覆被数据包括有美国地质调查局USGS的全球耕地数据（GFSAD30，30m）、日本宇宙航空研究开发机构JAXA的全球林地数据（PALSAR/PALSAR-2，25m）、欧盟联合研究中心(JRC, EC)的全球水体数据（GSWD，Global Surface Water Data）和中山大学基于Google earth engine提取的全球城市用地数据（GULM，Global Urban Land Map）。构建了“一带一路”区域LUC分类系统以及其余数据分类系统的转换规则，构建土地覆被分类置信度函数和地类融合规则，进行土地覆被产品融合与修正，完成了“一带一路”核心国家2015年土地利用数据（V1.0）。数据大小：17.18 MB数据来源：国家青藏高原科学数据中心https://data.tpdc.ac.cn/来源地址：https://data.tpdc.ac.cn/zh-hans/data/698bfaba-d9c3-4b04-a40f-7d7e74f4caca如有侵权，联系客服删除

This dataset was developed using multiple land cover datasets, which include three primary land cover product datasets: the Global Land Cover Dataset (ESA CCI-LC, 300m grid) from the European Space Agency, the Global Land Cover Dataset (FROM-GLC, 30m grid) from Tsinghua University, and the MODIS Global Land Cover Dataset (MCD12Q1, 300m grid) from the LP DAAC Center of NASA. For targeted land category datasets, it incorporates: the Global Cropland Dataset (GFSAD30, 30m) from the U.S. Geological Survey (USGS); the Global Forest Dataset (PALSAR/PALSAR-2, 25m) from the Japan Aerospace Exploration Agency (JAXA); the Global Surface Water Data (GSWD) from the Joint Research Centre of the European Commission (JRC, EC); and the Global Urban Land Map (GULM) extracted by Sun Yat-sen University via Google Earth Engine.

The LUC classification system for the Belt and Road (B&R) region and conversion rules between this system and other classification systems were established. Additionally, land cover classification confidence functions and land category fusion rules were constructed to perform fusion and correction of land cover products. The 2015 Land Use Dataset (V1.0) for the core countries along the Belt and Road was ultimately completed.

Data size: 17.18 MB
Data source: National Tibetan Plateau Data Center (TPDC), https://data.tpdc.ac.cn
Dataset access link: https://data.tpdc.ac.cn/zh-hans/data/698bfaba-d9c3-4b04-a40f-7d7e74f4caca
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